5495 Data Science Jobs - Page 25

- Proficiency in LLM systems, prompt fine-tuning - experience with infrastructure management, model deployment, and optimization. - Understanding of cloud architecture, performance and scalability. - Experience with machine learning frameworks Health insurance Provident fund

We're Hiring: Sr. Software AI Engineer AI & ML Location: Remote / On-site Specify Type: Full-time | Join Within: 30 Days Department: AI & Machine Learning Apply Now: nitu.singh@simplifyhealthcare.com At Simplify Healthcare , we're on a mission to transform payer operations through automation, intelligence, and next-gen AI. Founded in 2008, were a leading healthcare IT company driving innovation across health insurance platforms. Our latest game-changer? A powerful agentic AI platform built on LLMs and Retrieval-Augmented Generation (RAG) . This is your chance to work on meaningful real-world problems, from automating claims to intelligent provider queries all while shaping the future of healthcare. What Youll Do: As a Senior AI/ML Engineer , you'll play a pivotal role in building intelligent agents and conversational AI systems that make healthcare smarter, faster, and more human. You will: Design & build LLM-powered RAG pipelines with Azure Cognitive Search or similar vector databases. Develop conversational agents using LangChain , Python , and cutting-edge agent frameworks. Fine-tune or prompt-tune LLMs (Azure OpenAI) for healthcare insurance use cases. Integrate structured & unstructured data (MongoDB, MSSQL) into AI workflows. Build high-performance APIs with FastAPI for real-time model serving. Collaborate across teams to enhance product UX and AI performance. Optimize agent memory, reasoning, and multi-agent collaboration. Drive innovation with A/B testing , prompt engineering , and LLM evaluation cycles . Skill Required: 3+ years of experience in AI/ML or NLP engineering. Solid experience building RAG pipelines , LLM-based applications , or vector search . Strong skills in Python and FastAPI or Flask. Hands-on with MongoDB , unstructured/structured data integration. Understanding of prompt engineering , multi-agent systems , and context optimization . Experience with Azure cloud AI services is a huge plus. Great communication and cross-functional collaboration skills. Bonus Points If You Have: Worked on agentic AI architectures or multi-agent orchestration . Integrated claims, benefits, or policy data into AI workflows. Knowledge of healthcare payer systems , HIPAA , or regulatory environments. Why Simplify Healthcare? Be part of a cutting-edge AI journey in a high-impact domain. Work on real-world challenges that truly matter. Collaborate with a smart, passionate, and supportive team. Enjoy a flexible, innovation-first culture where you own your growth. How to Apply: If you are passionate about AI and can join within 30 days , we would love to hear from you! Please share your CV at: nitu.singh@simplifyhealthcare.com

We are seeking passionate trainers for our academy across various domains including Software Testing, Full Stack Development (Java, MERN, Python, .NET), Data Science, Data Analytics, and DevOps (AWS/Azure), Gen AI. Contact : Kavya HR - 8148060836

This job might be for you if You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You dont know the answer but will dig until you find it. You communicate clearly. You write well. You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference. You can impress our customers with your enthusiasm to solve their issues (and solve them!) Job Description As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You will work closely with clients to understand their business processes and requirements, conduct proof of concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drives business value. Responsibilities Collaborate with clients to understand their business processes, goals, and requirements. Design and implement AI/ML solutions using state-of-the-art techniques and methodologies. Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions. Work with cross-functional teams to map AI/ML solutions to client business processes. Perform data analysis, data preprocessing, and feature engineering as needed. Conduct hypothesis testing, feature extraction, feature selection, cross-validation. Develop and deploy machine learning models in a production environment. Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction, summarization and sentiment analysis to relevant projects OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation. Communicate findings and insights effectively to both technical and non-technical stakeholders. Ensure project deliverables meet high-quality standards and are completed on time and within budget. Qualifications Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field. At least 5 to 8 years of hands-on experience in designing and delivering AI/ML solutions. Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics of Machine Learning Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction, Summarization and Sentiment analysis OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification. Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity with Cloud AI services and tools is a plus. Proficiency in programming languages such as Python or R. Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with MLOps is a plus Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and presentation skills.

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Scientist with minimum 3 years exp in Data Scientist Mini 3 Years Exp in Computer Vision, NLP and Predictive analytics solutions for various types of business problems. We are looking for a Data Scientist to join our team. You will use various methods to transform raw data into useful data systems. You'll strive for efficiency by aligning data systems with business goals. Job Requirements Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 3 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills. Key traits: Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way. Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* Please send us your resume to chennai.walkin@blackstraw.ai *Kindly fill up below form to submit you registration form: https://forms.gle/G77BJHJUgdHWzqvC6 Preference will be given for Immediate Joiners or who can join within 10-15 days.

We are seeking a highly skilled Technical Trainer with expertise across multiple cutting-edge technologies, including Artificial Intelligence (AI), Python, Machine Learning, Data Science, Cybersecurity, Cloud Computing, Robotic Process Automation (RPA), AutoCAD, and Blockchain. The ideal candidate will have a passion for technology, a deep understanding of industry-relevant tools and platforms, and the ability to explain complex concepts to students and professionals at various experience levels. This role requires both strong technical expertise and the ability to deliver engaging, hands-on training sessions that prepare learners for real-world challenges. Key Responsibilities Training Delivery Conduct in-depth training on the following technologies: Artificial Intelligence (AI) Machine learning algorithms, neural networks, natural language processing (NLP), computer vision, and deep learning. Python Programming Core Python, libraries (NumPy, Pandas, TensorFlow, etc.), data structures, object-oriented programming. Machine Learning Supervised, unsupervised learning, deep learning, model evaluation, and deployment. Data Science Data analysis, data visualization, statistical methods, and predictive modeling using tools like R, Python, and SQL. Cybersecurity Network security, cryptography, ethical hacking, penetration testing, and security protocols. Cloud Computing AWS, Azure, Google Cloud Platform (GCP), DevOps, cloud architecture, and deployment strategies. Robotic Process Automation (RPA) Tools like UiPath, Automation Anywhere, and Blue Prism; automation workflows and bot development. AutoCAD Design principles, 2D/3D drafting, rendering techniques, and architectural drawing practices. Blockchain Blockchain fundamentals, smart contracts, decentralized applications (DApps), and cryptocurrencies. Deliver both beginner and advanced level content in a hands-on, project-based format. Provide practical applications, case studies, and real-world scenarios for better understanding. Content Development Design and develop comprehensive training materials, including: Lecture slides, code samples, and step-by-step guides Hands-on lab exercises, case studies, and assessments Quizzes, mock tests, and project assignments Customize content for varied audiences including fresh graduates, working professionals, and corporate teams. Assessment & Mentorship Design and conduct assessments such as coding challenges, quizzes, and lab tests to measure learner progress. Mentor students on projects, helping them solve technical challenges and understand industry applications. Offer personalized feedback and guidance on career paths within the relevant technical domains. Client & Campus Coordination Travel to client sites, campuses, and partner institutions to conduct training programs and workshops. Coordinate with academic teams, HR departments, or placement cells for smooth session execution. Represent the company during training sessions, ensuring professional delivery and engaging presentations. Required Qualifications Bachelor's or Masters degree in Computer Science, Engineering, or related technical fields. Professional certifications in relevant technologies (e.g., AWS, Python, Machine Learning, RPA tools) are a plus. 26 years of hands-on experience in the specified technologies, with a passion for teaching and sharing knowledge. Key Skills Deep expertise in at least one or more of the following areas: Artificial Intelligence, Python, Machine Learning, Data Science, Cybersecurity, Cloud Computing, RPA, AutoCAD, Blockchain. Strong presentation, facilitation, and communication skills. Ability to simplify complex technical concepts for learners at different levels. Experience with modern teaching tools and platforms (LMS, Zoom, IDEs, cloud-based tools). Ability to mentor and guide students through practical projects, exercises, and career advice. Preferred Attributes Deep expertise in at least one or more of the following areas: Prior experience in delivering corporate training or boot camps in these technical domains. Exposure to project management tools like Jira, Trello, or Asana. Familiarity with coding platforms such as GitHub, Bitbucket, or GitLab. Knowledge of industry standards and certifications in specific domains (e.g., Certified Ethical Hacker, AWS Certified Solutions Architect). Willingness to travel and adapt to different client environments and requirements. Travel Requirements Travel to training locations across cities/states as per schedule (sometimes on short notice). Travel and accommodation expenses will be covered or reimbursed as per company policies. Training duration at client sites may range from 1 day to 2 weeks. What We Offer Competitive salary + travel allowance + performance incentives A dynamic and growth-focused work environment Opportunities to work with reputed academic and corporate partners Ongoing learning & upskilling support

We are seeking a highly motivated intern currently enrolled in an MTech/MSc programme with a background in data science, remote sensing, geoinformatics, environmental science, urban studies, or related disciplines. The intern will support the Adaptation and Risk Analysis team in the preparation and analysis of land use and land cover (LULC) maps for the Bengaluru district using the Google Earth Engine (GEE) platform. The work supports a larger initiative on Ecosystem-based Adaptation (EbA) and climate-resilient urban planning in Bengaluru. Responsibilities Process and classify satellite imagery using GEE Develop interactive graphs and visualisations to illustrate LULC dynamics Assist in the preparation and validation of LULC maps Qualifications Currently enrolled in a master s degree programme in data science, remote sensing & geoinformatics, urban and regional planning, or a related discipline Skill Set Hands-on experience with GEE (JavaScript or Python API) Prior experience with Quantum-GIS or any open-source GIS platform Familiarity with Sentinel datasets (e.g. Sentinel-I and -II missions) and spectral indices Knowledge of LULC classification, urban spatial analysis, and spatial statistics Good communication and documentation skills

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the world s most competitive markets, with a deluge of multi-dimensional data dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the world s most competitive markets, with a deluge of multi-dimensional data dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We re looking for a C++ Developer who expects more from their career. This role is a chance to work with new technologies and build critical APIs for our commercial and internal applications. What we expect from you - Required skills: 6+ years of experience in C/C++ and Python with understanding of Shell scripting Solid understanding of high-quality coding, testing, and development practices HLD, LLD, Design Principles , Distributed Computing and Functional programming Experience with docker and GitLab. Experience with GCP/Azure Clous. Experience with CI / CD tools (Octopus, Gitlab, Teamcity) Development Practices : Object-Oriented Programming (OOP) Functional Programming Agile / Scrum / Kanban TDD (Test-Driven Development) BDD (Behavior-Driven Development) CI/CD Concepts Performance Optimization What you can expect from us We won t just meet your expectations. We ll defy them. So, you ll enjoy the comprehensive rewards package you d expect from a leading technology company. But also, a degree of personal flexibility you might not. Plus, thoughtful perks, like flexible working hours and your birthday off. You ll also benefit from an investment in cuttingedge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don t just talk about diversity and inclusion. We live it every day with thriving networks including dh Women s Network, dh Proud, dh Parent s & Carer s, dh One and dh Thrive as the living proof. Everyone s invited Our approach to Flexible Working. At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process What you can expect from us We won t just meet your expectations. We ll defy them. So you ll enjoy the comprehensive rewards package you d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don t just talk about diversity and inclusion. We live it every day with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

InSync Analytics (India) Private Limited is looking for Data Scientists to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

KPMG India is looking for Assistant Manager - Data Science Assistant Manager - Data Science to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

We are seeking a dynamic and accomplished Senior Manager - Public Relations & External Communications to lead and scale our external visibility across the US and India. This role is ideal for a seasoned communications professional with deep relationships in top-tier media, sharp storytelling instincts, and a track record of securing consistent high-impact coverage in globally respected publications. The ideal candidate will be both a strategist and an operator -- someone who can shape narratives, build media trust, and elevate our brand with influential audiences across regions. Key Responsibilities: - Media Relations: Cultivate and maintain strong relationships with key journalists and editors in the US and India, especially in business, tech, and enterprise media. - Strategic Storytelling: Craft compelling narratives aligned with our brand vision, product innovation, leadership agenda, and market momentum. - Press Coverage: Secure high-impact coverage in tier-1 publications including: WSJ, CNBC, Forbes, Reuters, Bloomberg, Fortune, Business Insider, TechCrunch, VentureBeat, Wired, The Information, Financial Times, Fast Company, Inc., Harvard Business Review, MIT Technology Review, Axios, The Economist, The Verge, Entrepreneur, and Quartz. - Executive Positioning: Drive visibility and credibility for senior leaders through interviews, authored articles, speaker opportunities, and media commentary. - PR Campaigns: Design and execute proactive and reactive media campaigns around major milestones, product launches, and relevant market moments. - Content Creation: Write and edit high-quality press releases, media pitches, briefing documents, op-eds, and executive messaging. - Agency Management: Manage and collaborate with PR agencies across the US and India to deliver measurable impact. - Media Monitoring & Insights: Track media coverage, competitive narratives, and PR performance to guide future strategies. Requirements: - 15+ years of proven experience in public relations or corporate communications, preferably with a B2B technology or consulting brand. - Demonstrated success in placing stories in top-tier media across business and tech domains. - Strong and active relationships with key US-based journalists and editors. - Outstanding writing and editing skills -- clear, concise, and compelling. - Deep understanding of media dynamics in both US and India. - Experience managing global communications across time zones and markets. - Self-starter with strong organizational and strategic thinking skills. - Bachelor's or Master's degree in Communications, Journalism, English, or a related field. Nice to Have: - Experience in AI, data science, or enterprise technology domains. - Familiarity with analyst relations and integrated comms (PR, AR, social, content). - Combination of in-house and agency experience Required Skills

Conduct model validation, A/B testing, and performance tuning Stay updated with the latest research in ML/AI and apply relevant innovations Collaborate with frontend/backend teams to integrate ML APIs into products Qualifications Bachelors/Masters degree in Computer Science, Data Science, Mathematics, or a related field Strong proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Solid understanding of supervised, unsupervised, and deep learning methods Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms like AWS, GCP, or Azure is a plus Good problem-solving and analytical skills

Data Scientist - FinBox {"@context":"https: / / schema.org / " , "@type":"JobPosting" , "title":"Data Scientist","description":" FinBox: Where Fintech Meets Fun! Welcome to FinBox, the buzzing hive of tech innovation and creativity! Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines. Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we ve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month. Why Should You be a FinBoxer: Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of whats possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike. Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement. Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another. Who s a Great FinBoxer: At FinBox, we re on the lookout for exceptional folks who are all about innovation and impact. If you re excited to shake things up in the banking & financial services world, keep reading! Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table. Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy. Team Players: We believe in the power of we. If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you ll fit right in. How Youll Contribute to Our Data Science Team: Assist in analyzing structured and unstructured data to generate meaningful insights. Support the development of predictive models and statistical analyses to improve product decisions. Build dashboards and visualizations to monitor key business metrics. Work on data gathering, pre-processing, and cleaning to ensure high-quality datasets. Conduct exploratory data analysis and hypothesis testing to drive data-driven decision-making. Automate reports and create simple yet effective data visualizations. Document data processes and findings in a structured and presentable format. Collaborate with cross-functional teams to translate business requirements into data-driven solutions. Apply foundational machine learning techniques such as regression analysis, clustering, and decision trees. Who You Are: 3+ years of experience in data science, analytics, or a related field. Strong analytical thinking and problem-solving skills. Proficiency in Python/R, SQL, and Excel for data manipulation and analysis. Experience with data visualization tools (Tableau, Power BI, or similar). Familiarity with AWS, Git, and version control practices is a plus. Understanding of statistical concepts and basic machine learning models . Eagerness to learn, experiment, and grow in a fast-paced startup environment. ","

About Our Team The Content and Data Analytics team is part of DataOps, which is an integral part of Global Operations at Elsevier. We provide data analysis services, primarily using Databricks, and mostly serve product owners and data scientists of Elsevier s Research Data Platform. Our work contributes to the delivery of leading data analytics products for the world of scientific research, including Scopus and SciVal. About the Role A Data Analyst II should have a basic understanding of best practices and can execute on projects and initiatives with supervision from others. Individuals will create basic level insights and recommendations in their area of expertise. Individuals in this role will continue to provide support to the analytics team members and begin to lead analytics efforts with low complexity. Responsibilities This role is located within DataOps and supports data scientists working within the Domains of the Research Data Platform. Domains are functional units that are responsible for delivering one or more data products, often through data science algorithms, and supporting this work could lead to a wide range of different analytical activities. For example, you may be asked to dive into large datasets to answer questions from product owners or data scientists; you may need to perform large-scale data preparation (dataprep) in order to test hypotheses or support prototypes; you may be asked to review the precision and recall of data science algorithms at scale and surface these as dashboard metrics. You will need to have a keen eye for detail, good analytical skills, and expertise in at least one data analysis system. Above all, you will need curiosity, dedication to high quality work, and an interest in the world of scientific research and the products that Elsevier creates to serve it. Because you will need to communicate with a range of stakeholders around the world we ask for candidates to demonstrate a high level of English. Requirements Minimum work experience of 3 years Coding skills in at least one programming language (preferably Python) and SQL Familiarity with common string manipulation functions such as regular expressions (regex) Prior exposure to data analysis in a tabular form, for example with Pandas or Apache Spark/Databricks Knowledge of basic statistics relevant to data science eg. precision, recall, F-score Knowledge of visualization tools such as Tableau/Power BI is a plus Experience of working with Agile tools such as JIRA is a plus Stake Holder Management Build and maintain strong relationships with Data Scientists and Product Managers. Align activities with Data Scientists and Product Managers. Present achievements and project status updates, both written and verbally, to various stakeholders. Competencies Collaborates well and works effectively as part of a team Takes initiative and is proactive in suggesting approaches or solutions to problems Drives for results by taking a task to a polished conclusion Key Results Understand the requirements of a given task Identify, gather, prepare and refine data Interpret and understand large data sets Report findings to stakeholders through effective story telling Formulate recommendations and requirements Identify and address new opportunities Way that Works for You We promote a healthy work-life balance across the organization. We offer numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals. Working for You We understand that your well-being and happiness are essential to a successful career. Here are some benefits we offer Comprehensive Health Insurance. Enhanced Health Insurance Options. Group Life Insurance. Group Accident Insurance. Flexible Working Arrangements. Employee Assistance Program. Medical Screening. Modern Family Benefits include maternity, paternity, and adoption support. Long Service Awards. Celebrating New Baby Gift. Subsidized Meals (location-specific). Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport for home-office-home commutes (location-specific).

Responsibilities & Key Deliverables We are looking for a Senior Data Scientist with a balanced mix of hands-on expertise and team leadership capabilities. The ideal candidate is someone who thrives at the intersection of technical depth and strategic impact. In this dual role, youll own critical projects end-to-end while mentoring a team of data scientists and analysts to drive enterprise-wide AI initiatives. Leadership (50%) Lead and mentor a small team of junior to mid-level data scientists and analysts. Translate high-level business problems into analytical frameworks and guide project execution. Review models, code, and outputs to ensure quality and scalability. Manage timelines, prioritize tasks, and align with cross-functional stakeholders. Collaborate with product, engineering, and business teams to deliver AI-driven solutions. Individual Contributor (50%) Design, build, and deploy machine learning models, statistical frameworks, and data pipelines. Perform deep data exploration and generate actionable insights. Work on a range of problems including predictive modeling, segmentation, recommendation systems, NLP, and computer vision depending on project needs. Conduct robust feature engineering, model evaluation, and tuning. Communicate findings clearly to technical and non-technical stakeholders. Experience 5 8 years of hands-on experience in data science, machine learning, or analytics. Qualifications Required Qualifications: Strong programming skills in Python, SQL, and proficiency with libraries like scikit-learn, TensorFlow, PyTorch, or XGBoost. Solid understanding of supervised/unsupervised ML, A/B testing, and statistical modeling. Demonstrated experience in leading or mentoring data science teams (formal or informal). Excellent communication, problem-solving, and stakeholder engagement skills. Experience working with both structured and unstructured data at scale. Good to Have: Exposure to cloud-based AI/ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML Studio. Experience working with cloud-native data tools (e.g., BigQuery, Redshift, Snowflake). Understanding of data architecture and modern database systems (e.g., PostgreSQL, MongoDB, Cassandra). Familiarity with MLOps practices, model monitoring, and CI/CD pipelines for ML.

Work Flexibility: Hybrid What you will do: Assists in providing tactical execution and delivery of projects within the teams project portfolio. Partners across Stryker to create and maintain data products that support strategic priorities. Understand basic finance concepts and their business impact. Support collaboration efforts with partners across functions. Understand and capture stakeholder requirements, timing, and scope. Participate in presentations and communications to the business and stakeholders. Support problem solving, root cause analysis, identify potential solutions, and evaluate them against requirements. What you need: Bachelor s or master s degree in data science, Computer Science, Statistics, or a related field. We are looking for someone with experience range of 2 to 5 years Tools experience Power BI, Power Apps, Power Automate or Similar For robotic process automation and workflow automation. SQL and basics of Python Travel Percentage: 10%

Req ID: 312453 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Sr. Data Science AIML, GenAI Lead/Engineer to join our team in Pune, Mah r shtra (IN-MH), India (IN). Job Duties: Job Title: Data Science AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. #GenAINTT We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in RD to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

Are you customer obsessed, relentlessly focused on achieving high standards, street-smart and analytical, execution focused, hungry and passionate about e-commerce, an experienced sales executive with a strong work ethicIf yes, this opportunity will appeal to you. Amazon Seller Services is an important division of Amazon Inc., a multi-national company headquartered in Seattle, USA. The division aims to help sellers grow their business by offering services which leverage high quality Amazon capabilities. Amazon Seller Services is now looking to work with Indian retailers and offer them services which will scale their business. See www.amazonservices.com for services offered in US & www.services.amazon.in for product details in India. As a Business Development Associate with Amazon Seller Services India, you will have the exciting opportunity to deliver Amazon s offerings in India. You will be the face of Amazon to retailers for the services which Amazon will offer. The role will require engaging retailers at all points of their life cycle. You will have to identify and recruit retailers that deliver competitive pricing and broad product selection on the platform, train sellers on Amazon systems helping them integrate with our product platform and analyze seller performance metrics to help them become successful on our platform. The ideal candidate will have sales experience, ability to work in an environment with minimal supervision, comfortable working across multiple complex functions and capability to influence external parties. The candidate should be comfortable interfacing with technology systems, training other stakeholders on systems and processes and be able to analyze data and gather actionable conclusions. Operating in a rapidly changing environment will require the candidate to be adept at dealing with ambiguous, new and challenging situations. The candidate will be comfortable in executing repeatable processes. Role and Responsibilities: Understand products and services offered by Amazon Services and be able to articulate its functions and benefits to external audiences. Help define the seller base and industry verticals we target for various Amazon services using local knowledge. Identify valuable sellers and selection for Amazon services. Acquire retailers with valuable selection and establish long-term partnerships. Own and manage integration of portfolio of sellers and help them become self-reliant through basic training. Track and monitor performance and sales of key partners to manage their performance. Prior Experience and skills: More than 3+ years of experience in sales Bachelors degree required, MBA is preferred Passion for e-commerce is required. Experience in an analytical, results-oriented environment with external customer interaction. Proven ability to manage the business by the numbers . Must be metrics-driven. Excellent written and oral communication and presentation skills and the ability to express thoughts logically and succinctly. Experience working with SME retailers is an advantage. Experience with e-commerce, retail, advertising, or media would be an advantage. Deep understanding of the retail and wholesale landscape in India with prior interactions with sellers and distributors is desirable. Experience selling nascent (embryonic/start-up) products/services into new markets is desired. Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment. Ability to speak the local language is desirable Personal attributes and competencies: Demonstrated intense customer focus. Demonstrated highest level of integrity, intellectual honesty, and strong work ethic. Takes initiative. Doesnt wait to be asked. Plans efficiently. Consistent effort, intense commitment, perseverance and willingness to go above and beyond when needed. Strong team player, acts like an owner, and ultimately focused on delivering results with high standards. Proven ability to successfully thrive in an ambiguous environment and changing market conditions. Disciplined in executing repeatable operational processes. Has sound judgment and ability solve issues on the spot. Makes good decisions when analysis of data is not sufficient to reach a conclusion. Bachelors degree in business administration, finance, economics, computer science, data science, engineering, or other related field 1+ years of sales experience

Job Title: Associate Vice President - Data Science Work Type: Permanent Location: DLF Downtown - Gurgaon It s more than a career at NAB. It s about more meaningful work, more global opportunities and more innovation beyond boundaries . Your job is just one part of your life. When you bring your ideas, energy, and hunger for growth, you ll be recognised and rewarded for your contribution in return. You ll have our support to excel for our customers, deliver positive change for our communities and grow your career. NAB has established NAB Innovation Centre India as a centre for operations and technology excellence to support NAB deliver faster, better, and more personalized experience to customers and colleagues. At NAB India, we re ramping-up and growing at a very fast pace. Our passionate leaders recruit and develop high performing people, empowering them to deliver exceptional outcomes to make a positive difference in the lives of our customers and our communities. YOUR NEW ROLE : Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large data sets from multiple disparate sources. Providing hands-on support as required in formulating a coherent cross-business approach and strategic/tactical plan for big data initiatives. Learning, adopting and leveraging data science best practice to delivery quantitative improvements to the analytics and process modelling functions. Working with massive and complex data sets from multiple sources, utilising big data tools and techniques for the purposes of analysing, providing insight and validating hypotheses. Performing deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates. Translating analytical insights into concrete, actionable recommendations for business, process or product improvements. Making recommendations for the collection of new data or the refinement of existing data sources and storage. Developing best practice guidelines for instrumentation and experimentation. WHAT YOU WILL BRING Ability to manipulate and analyse complex, high-volume, high dimensionality data and metadata from varying sources. Strong passion for empirical research and for answering hard questions with data. Expert knowledge of analysis tools and big data technologies (Map/Reduce, Hadoop, Hive, etc). Familiarity with relational/non-relational data manipulation, machine learning, and scientific statistical analysis. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Flexible analytical approach that allows for results at varying levels of precision. Solid understanding and experience with programming logic and various paradigms. At least 3 - 5 years experience in a data science environment (experience may be corporate, research/government or academia) coupled with tertiary qualifications to a Masters or PhD level in a relevant technical field. A diverse and inclusive workplace works better for everyone: Our goal is to foster a culture that fills us with pride, rooted in trust and respect. NAB is committed to creating a positive and supportive environment where everyone is encouraged to embrace their true, authentic selves. A diverse and inclusive workplace where our differences are celebrated, and our contributions are valued. It s a huge part of what makes NAB such a special place to be. More focus on you: We re committed to delivering a positive experience for our colleagues and a workplace you can be proud of. We support our colleagues to balance their careers and personal life through flexible working arrangements such as hybrid working and job sharing and competitive financial and lifestyle benefits. We invest in our colleagues through world class development programs (Distinctive Leadership and Career Qualified in Banking), and empower you to learn, grow and pursue exciting career opportunities Join NAB India: This is your chance to join NAB India and along with your experience and expertise to help shape an innovation driven organisation that focuses on making a positive impact in the lives of its customers, colleagues and communities To know more about us please click here To know more about NAB Global Innovation Centres please click here We re on LinkedIn: NAB Innovation Centre India

Data Science Online Tutor Summary : We re seeking an experienced Data Science professional to join our team as an online tutor. As a Data Science Online Tutor, you ll provide expert guidance and support to students learning Data Science concepts, tools, and techniques. If you re passionate about Data Science and enjoy teaching, this is an excellent opportunity to share your knowledge and help shape the next generation of Data Science professionals. Responsibilities: Provide online tutoring and mentoring to students in Data Science-related courses Develop and deliver high-quality, engaging video lessons and tutorials Create and grade assignments, quizzes, and exams Participate in live online sessions, answering student questions and providing feedback Collaborate with our instructional design team to develop and refine course content Stay up-to-date with industry trends and emerging technologies in Data Science Requirements: 3+ years of experience in Data Science, with expertise in tools like Python, R, TensorFlow, and scikit-learn Strong understanding of machine learning algorithms, statistical modeling, and data visualization Excellent communication and teaching skills Experience with online learning platforms and tools Bachelor s degree in Computer Science, Statistics, Mathematics, or a related field Nice to Have: Experience with cloud platforms (e.g., AWS, Google Cloud) Knowledge of other programming languages (e.g., SQL, Julia) What We Offer: Competitive hourly rate Flexible, remote work arrangement Opportunity to shape the next generation of Data Science professionals Collaboration with a talented team of professionals If you re passionate about Data Science and teaching, please submit your resume and a letter explaining why you re the perfect fit for this role.

A Bachelors degree in Computer Science, Data Science, or a related field; a Master s is a plus 6 8 years of experience in data science with a strong track record of building and deploying ML solutions at scale Deep understanding of core ML techniques supervised, unsupervised, and semi-supervised learning along with strong foundations in statistics and linear algebra Exposure to deep learning concepts and architectures (e.g., CNNs, RNNs, Transformers) and their practical applications Proficiency in Python and SQL, with experience in building data pipelines and analytical workflows Hands-on experience with large-scale data processing using Apache Spark, Hadoop/Hive, or cloud platforms such as GCP Strong programming fundamentals and experience writing clean, maintainable, and production-ready code Excellent analytical and problem-solving skills the ability to extract actionable insights from messy and high-volume data Solid grasp of statistical testing, hypothesis validation, and common pitfalls in experimental design Experience designing and interpreting A/B tests, including uplift measurement and segmentation Ability to work closely with product and engineering teams to translate business goals into scalable ML or data solutions Bonus points for: Experience with reinforcement learning or sequence modeling techniques Contributions to ML libraries, internal tools, or research publications B2c, Cnn, Deploying, Fraud, Machine Learing, Network+, Search, Transformer

What You Will Need Bachelors/Masters degree in computer science (or similar degrees) 4-7 years of experience as a Data Scienti st in a fast-paced organizati on, preferably B2C Familiarity with Neural Networks, Machine Learning etc. Familiarity with tools like SQL, R, Python, etc. Strong understanding of Stati sti cs and Linear Algebra Strong understanding of hypothesis/model testi ng and ability to identi fy common modeltesti ng errors Experience designing and running A/B tests and drawing insights from them Profi ciency in machine learning algorithms Excellent analyti cal skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for: Experience in working on personalizati on or other ML problems Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift Algorithms, Apache Spark, Data Science, Etl, Large Scale, Linear Algebra, Ml, Neural Netwoks, Python, Sql

Data Analyst @ Amritapuri - Amrita Vishwa Vidyapeetham Data Analyst @ Amritapuri Data Analyst @ Amritapuri Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Data Analyst . For . Desirable Skills & Capacity 1 2 years of experience working as a data analyst or in a related role Strong proficiency in Python for data analysis (pandas, numpy, matplotlib/ seaborn) Familiarity with SQL for querying databases Experience with data visualization tools such as Power BI, or Tableau Good spoken and written English skills Job Responsibilities Data Cleaning & Preparation Collect, clean, and prepare structured and unstructured data from various sources Handle missing values, outliers, and data formatting issues Data Analysis Perform exploratory data analysis (EDA) to extract insights and trends Work with large datasets to support research and project goals Apply statistical techniques for hypothesis testing and inference Reporting & Visualization Build dashboards and reports to communicate findings effectively Present insights in a clear and compelling manner for internal and external stakeholders Collaboration Work closely with project managers, developers, and education researchers Translate research questions into data-driven analyses and solutions Code Quality & Documentation Write clean, reproducible scripts and notebooks Maintain proper documentation of data sources, workflows, and results Use Git for version control and collaborative development Learning & Improvement Stay updated on current trends and tools in data science Continuously enhance skills through learning and experimentation Last Date to Apply August 2, 2025 Thank You for contacting us! Well be in touch shortly. Add File or drop files here Upto 500kb | doc, docx & PDF format only Extra curricular activities To confirm your request , please check the box to let us know you are human

Req ID: 334223 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior ML Engineer to join our team in Bangalore, Karn taka (IN-KA), India (IN). Minimum Experience: 7 Maximum Experience: 9 Mandatory Skills: Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning Experience: 7 to 9 Years Location: Bengaluru Job Description: [Project Details]: Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of usersThe work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating with teams-across Engineering and Product. Further, you will be immersed in ground-breaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. [Technology and Sub-technology] Technology name : Machine Learning , Statistics , Deep Learning , ML Ops , Data Analytics covering : NLP Linear Regression Classification & Clustering Transfer Learning NLP Forecasting based Models & Algorithms Large Language Models Machine learning frameworks such as Tensorflow, PyTorch, MLlib etc. Data Bricks Sub-technology name: Python, SQL, Spark, Kubernetes, Jenkins, Prometheus [Base Location]: Bangalore [Type]: Hybrid [Qualifications] Master s degree in CS/Statistics/Data Science, with a specialization in machine learning or equivalent experience. 5+ years of experience in Data Science Experience in developing production-level large-scale ML models and data pipelines. Experience with Python or Scala or Java. Industry work experience in designing and implementing machine learning-based solutions that ideally include online safety, voice-activated conversational systems, recommender systems, search engines, personalization, time series forecasting, and A/B testing. Strong machine learning, statistical and analytical skills. [Job Overview]: We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other Data Scientists, ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC s. Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members. [Primary Skills]: Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization s, search, virtual assistant, time series forecasting and more. Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning. Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders. Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies Produce reusable code according to standard methodologies in Python, Scala or Java Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews. [Good to have Skills]: SQL, Data Analysis , Gaming Industry knowledge [Responsibilities and Duties]: Lead dedicated team of software engineers to architect, build, deploy and support best-in-class software services that are always available to provide the best gaming experience for our customers. Build and develop a high energy, committed, motivated engineering team focusing on engineering and operational excellence to deliver awesome business results. Collaborate across business units and product teams to develop and execute against the teams vision, strategy, and roadmap. Use technical expertise and industry trends to influence software development standard methodologies. Handle day-to-day activities of engineering team using Agile/Scrum methodology. [Keywords] Data Science , Machine Learning , Artificial Intelligence , Statistics , Deep Learning About NTT DATA We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https: / / us.nttdata.com / en / contact-us . NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https: / / us.nttdata.com / en / contact-us .

Job Description: AI Developer Intern Are you passionate about building intelligent systems that make a real-world impact? Do you enjoy working in a fast-paced and dynamic start-up environment? If so, we are looking for a talented AI Developer to join our team! We are a data and AI consultancy start-up with a global client base, headquartered in London UK, and we are looking for someone to join us full time on-site in our vibrant office in Gurugram. About Uptitude Uptitude is a forward-thinking consultancy that specialises in providing exceptional AI, data, and business intelligence solutions to clients worldwide. Our team is passionate about delivering data-driven transformation and intelligent automation, enabling our clients to make smarter decisions and achieve remarkable results. We embrace a vibrant and inclusive culture where innovation, excellence, and collaboration thrive. As an AI Developer at Uptitude, you will be responsible for designing, developing, and deploying AI models and solutions across a wide range of use cases. You will collaborate closely with data engineers, analysts, and business teams to ensure models are well-integrated, explainable, and scalable. We are looking for a candidate who is not only technically skilled but also creative, curious, and excited about pushing the boundaries of AI in real-world business environments. Requirements: Graduated in Computer Science, Data Science, or related field. 0 1 year of experience in AI/ML development or relevant projects (internships count). Familiarity with Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Basic understanding of supervised and unsupervised learning. Awareness of data preparation and feature engineering. Exposure to tools like Jupyter, Git, and cloud platforms (Azure, AWS, or GCP preferred). Strong problem-solving mindset and eagerness to learn. Role based in Gurugram, India. Head office in London, UK. Company Values At Uptitude, we embrace a set of core values that guide our work and define our culture: Be Awesome: Strive for excellence and keep levelling up. Step Up: Take ownership and go beyond the expected. Make a Difference: Innovate with impact. Have Fun: Celebrate wins and build meaningful connections. Benefits Uptitude values its employees and offers a competitive benefits package, including: Competitive salary based on experience and qualifications. Private health insurance. Offsite trips for team building and knowledge sharing. Quarterly outings to celebrate milestones. Corporate English lessons with a UK-based instructor. If you re ready to develop cutting-edge AI solutions and work on meaningful challenges with a global impact we d love to hear from you.